Simulated Annealing Clusterization Algorithm for Studying the Multifragmentation

Abstract

We here present the details of the numerical realization of the recently advanced algorithm developed to identify the fragmentation in heavy ion reactions. This new algorithm is based on the simulated annealing method and is dubbed the simulated annealing clusterization algorithm (SACA). We discuss the different parameters used in the simulated annealing method and present an economical set of the parameters which is based on the extensive analysis carried out for the central and peripheral collisions of Au-Au, Nb-Nb, and Pb-Pb. These parameters are crucial for the success of the algorithm. Our set of optimized parameters gives the same results as the most conservative choice, but is very fast. We also discuss the nucleon and fragment exchange processes which are very important for the energy minimization and finally present the analysis of the reaction dynamics using the new algorithm. This algorithm can be applied whenever one wants to identify which of a given number of constituents form bound objects.

Predictions of Quantum Molecular Dynamical Model between incident energy 50 and 1000 MeV/Nucleon

“…This finding is in agreement with the results reported in Refs. [6,15], where it was found that NN cross-section has sizable effect on reaction dynamics. Note that in these studies, static equation of state was used.…”

“…In the very low incident energy region, the nuclear structure, determination of fusion cross sections, synthesis of super heavy elements takes place [1,2], while from low to intermediate incident energy region, the dominant phenomena's are multifragmentation, collective flow, balance energy, elliptical flow, transition energy, liquid gas phase transition and particles production (pion, kaon, Σ) etc. [3][4][5][6][7][8][9].The high energy region deals with the phenomena of Quark Gluon Plasma (QGP), which is generated by STAR as well as LHC experimental collaborations [10,11]. There are different theoretical models developed time to time for the study of these phenomena's.…”

On the stability of fragments and thermalization achieved in neutron-rich heavy-ion collisions

“…One of the important aspects in fragmentation is the stability of the fragments as well as the nucleons surrounding a fragment. The change in the nucleon content of the fragments between two successive time steps can be quantified with the help of the persistence coefficient [24,25].…”

Clusters and Hypernuclei Production within PHQM+FRIGA Model

“…This idea was launched by Dorso et al [3] and it has been developed into the Simulated Annealing Clusterisation Algorithm (SACA) [4].…”